Lightski helps you build an analytics experience for your users that answers any arbitrary question about their data. We provide embedded data analytics more powerful than Tableau and Looker by pairing AI with code execution, which eliminates hallucinations. User-facing analytics can be a pain to implement: regardless of what you build, users end up exporting data as CSV and analyzing it themselves. Instead, let the Lightski AI Data Scientist help your users explore their data, without ever leaving your app. After loading your user's data in, we generate and execute code to perform advanced analyses, such as: - Create custom graphs, charts, and dashboards - Perform arbitrary filters, group-bys, and aggregations - Transform or clean data for a custom CSV export By writing and executing Python code to answer user questions, we provide grounded answers that avoid hallucinations. Since code is infinitely flexible, this approach enables arbitrary data questions to be quickly answered, without fiddling with UI, schemas, or technical knowledge. Anything that a data scientist can accomplish in code can now be accomplished with Lightski. Best of all, your users won’t even know we’re powering the experience—you can quickly re-theme our UI with your design system. Reach out at founders@lightski.com for a demo!
Hansen is the the cofounder of Lightski. Previously, Hansen was the 10th employee and an engineering manager at Affinity CRM.
Richard Hwang is the cofounder of Lightski, the ChatGPT assistant for sales teams. Prior to Lightski, Richard was an early engineering leader at DoorDash, where he built and scaled the driver dispatch algorithm, and an early ML engineer at C3.AI. Richard received his Bachelors of Science in Electrical Engineering and Computer Science from the University of California, Berkeley.
tl;dr: Lightski helps you build an analytics experience for your users that answers any arbitrary question about their data. We provide embedded data analytics more powerful than Tableau and Looker by pairing AI with code execution, which eliminates hallucinations.
Before YC, I was an engineering manager at Affinity CRM, where we spent six figures on an embedded analytics solution. Even then, our users were never happy; they either didn’t know how to navigate the complex UI or wanted even more advanced analytics. Most customers ended up exporting the data themselves and running their own analysis (not an ideal solution).
Recent AI advancements remove this trade-off, enabling a natural language interface and powerful code-based analysis. We started Lightski to quickly give your users the full power of a data scientist, without needing to know a line of code.
With Lightski, you’re able to embed an AI Data Scientist in your app, pre-loaded with your users’ data. Your users can then explore a dataset however they want; in response, we generate and execute code to perform analyses, such as:
Anything that a data scientist can accomplish in code can now be accomplished with Lightski. Best of all, your users won’t even know we’re powering the experience—you can quickly re-theme our UI with your design system.
We rely heavily on state-of-the-art LLM models to guide the analysis, but there’s a lot of other capabilities built in-house that power the experience:
We’re building fast and will also soon launch:
and much more! Let us know if you’re interested in any of these and we’ll prioritize it for you.
The fastest way to get access to Lightski is by signing up for our waitlist or emailing founders@lightski.com—we’ll help you format your data into a clean schema, and get Lightski embedded in your app within the day. Email us with any questions or feedback!